Evidence map›Paper›PMID 38649375›Full record

ArticleScientific reports2024

Evaluating the potential and eligibility of conservation agriculture practices for carbon credits.

Adeeth A G Cariappa, Noufa C Konath, Tek B Sapkota, Vijesh V Krishna

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Adeeth A G CariappaSustainable Agri-Food Systems (SAS) Program, International Maize and Wheat Improvement Center (CIMMYT), ICRISAT Campus, Hyderabad, India. a.adeeth@cgiar.org.ORCID https://orcid.org/0000-0001-8920-1586
Noufa C KonathSustainable Agri-Food Systems (SAS) Program, International Maize and Wheat Improvement Center (CIMMYT), ICRISAT Campus, Hyderabad, India.ORCID https://orcid.org/0000-0002-8389-0496
Tek B SapkotaSustainable Agri-Food Systems (SAS) Program, International Maize and Wheat Improvement Center (CIMMYT), ICRISAT Campus, Hyderabad, India.ORCID https://orcid.org/0000-0001-5311-0586
Vijesh V KrishnaSustainable Agri-Food Systems (SAS) Program, International Maize and Wheat Improvement Center (CIMMYT), ICRISAT Campus, Hyderabad, India.ORCID https://orcid.org/0000-0003-2191-4736

Funding

One CGIAR Initiative - TAFFSA INIT-20
6 · The paper itself

Abstract

Carbon credits, a voluntary market mechanism to reduce greenhouse gas (GHG) emissions, can incentivize climate action. We evaluate the potential and eligibility of Conservation Agriculture (CA) practices for carbon credit generation in India under Verra's VM0042 methodology. Using farmer surveys and remote sensing data, we assess the eligibility based on the following conditions: Additionality Condition (GHG emission reductions to exceed legal requirements and the weighted mean adoption rate to be < 20% of area in the baseline), Yield Penalty Condition (no > 5% decrease in crop yields), and Quantitative Adjustment Condition (reduction in chemical fertilizer use by > 5%). Our analysis shows that CA has the potential to increase farmers' carbon credit earnings by USD 18/ha and USD 30/ha in Bihar and Punjab, respectively. Punjab's ban on crop residue burning and the fact that > 20% of the area unburned limits the full economic realization of CA through carbon markets, decreasing potential income to USD 16/ha. A 60% increase in carbon prices from the current norm (USD 25) is required to encourage wider adoption of CA. Zero tillage of wheat in both Punjab and Bihar and reduction of nitrogen fertilizer overuse in Punjab fulfil all the conditions and are eligible for carbon farming projects.

Identifiers

PMID38649375
PMCPMC11035690

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.